Results 121 to 130 of about 132,794 (332)

Screw‐Based Pill for Intelligent Robotic Extraction of Viscous Fluids in Medical Applications

Advanced Intelligent Systems, EarlyView.
Screw‐based pill for intelligent robotic extraction (S‐PIRE) is a magnetically actuated smart capsule with a motorized screw, 3‐axis sensor, and Bluetooth control for site‐specific and minimally invasive remote sampling of viscous fluids, overcoming passive diffusion limitations.
Prima Dewi Sinawang, Victor Garcia‐Gradilla, Fernando Soto, Demir Akin, Margaret Braunreuther, Gerald G. Fuller, Utkan Demirci   +6 more
wiley   +1 more source

Impact of Face Masks on Speech Acoustics and Vocal Effort in Healthcare Professionals. [PDF]

Laryngoscope, 2022
McKenna VS, Kendall CL, Patel TH, Howell RJ, Gustin RL.   +4 more
europepmc   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

Advanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Acoustics of children’s speech: Developmental changes of temporal and spectral parameters [PDF]

, 1999
Sungbok Lee, Alexandros Potamianos, Shrikanth Narayanan   +2 more
openalex   +1 more source

Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models

Advanced Intelligent Systems, EarlyView.
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses, Chen Chen, Joan M. Redwing, Wesley F. Reinhart   +3 more
wiley   +1 more source

Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word\n Speech Recognition [PDF]

, 2019
Shane Settle, Kartik Audhkhasi, Karen Livescu, Michael Picheny   +3 more
openalex   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Clinical Presentation of the Longest Reported Living Individual With Bent Bone Dysplasia—FGFR2‐Related

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT The FGFR2 gene, encoding the FGFR2 protein, plays a crucial role in embryonic cell development, particularly in bone tissue. Bent Bone Dysplasia (BBD), FGFR2‐related (MIM# 614592), is a rare severe skeletal dysplasia characterized by craniofacial differences, reduced bone mineral density, and bowed long bones.
Cheyenne Bates, Pardeep Gill, Matthew Choi, Frances Mahon, Blake Yarascavitch, Audrey Lim, Resham Ejaz   +6 more
wiley   +1 more source